Trades Working Out?

What you will get in this article is kind of simple and easily comparable stuff. Don’t expect me to make judgments about how smart the player movements were. This study should be considered as a comparison tool which helps us have some insight whether the trades, on the paper, seem to help out teams or not! It was just a matter of me listing traded players one under the other and putting stats (for the same player) together.

Trades are being executed by GMs and coaches who are making decisions to make their team play better basketball. Not all of the players getting involved in a trade will react well and it’s not difficult to list a few reasons why trades don’t always work out with the way GMs and coaches think before making the movements. Here are the ones I could be able to to write

the physcology of not being the main men of trade,

getting assigned to a different role,

time needed for players in order to get adjusted to new teams’ pace&offensive and defensive sets

adaptation problems: New teammates, new city, social life, family issues etc.

Now let’s talk about the metrics used in this research:

I must point out the fact that this table only contains changes in playing times, ball usage, points, rebounds, and assists after the trades. Those stats are not enough themselves to make a statement about the trades worked out or not. It’s most likely about how the coaches has preferred to use new players on the court.

Since head coaches distribute total team possessions to players, -in other words, if you’re not Von Wafer– you won’t be allowed to use the ball as many as you want 🙂 Von Wafer? With attempting to shoot the ball 4-5 times in his 1.5 minutes of playing time, he is not the best trade thankfully! Now, I will name you a player whose name hasn’t been spelled so many times in the season. But he’s the champion of the trades work out research. Kirk Synder‘s stats tell us that the trade worked out very well for him and Minnesota. The table below contains the players with the most increased playing time in their new teams.

STATS WITH THE FORMER TEAM

STATS WITH THE NEW TEAM

PLAYER

TEAM

GP

MIN

USAGE

PER

PTS

RBD

AST

W/L

TEAM

GP

MIN

USAGE

PER

PTS

RBD

AST

W/L

1

K.Snyder

Hou

9

8.8

4.5

3.8

1.3

0.9

3-6

Min

14

26.6

9.8

14.5

8.4

4.0

1.9

7-7

2

D.West

Sea

35

20.6

10.1

11.5

6.8

2.7

3.2

9-26

Cle

16

31.0

12.7

13.0

9.2

3.6

4.3

9-7

3

N.Fazekas

Dal

6

2.8

1.3

0.7

0.7

0.2

3-2

Lac

9

11.3

4.1

18.9

3.4

4.4

0.4

1-8

4

M.Banks

Pho

24

12.7

5.5

12.1

5.2

0.8

1.0

19-5

Mia

12

21.4

10.4

18.1

9.5

2.1

3.0

2-10

5

G.Giricek

Phi

12

9.0

4.7

3.1

1.2

0.9

5-7

Pho

9

17.6

8.3

16.5

8.7

1.6

1.4

7-2

6

J.Crittenton

Lal

22

7.6

4.1

3.3

1.0

0.8

18-4

Mem

20

15.6

7.8

10.9

6.3

2.5

0.8

4-16

7

R.Murray

Det

19

18.1

11.6

15.7

7.5

1.9

3.4

13-6

Ind

11

22.3

14.4

18.5

12.4

2.4

2.5

6-5

8

S.Marion

Pho

47

36.3

14.4

23.4

15.8

9.9

2.1

34-13

Mia

15

39.9

18.8

19.9

15.3

11.9

2.7

3-12

9

D.Harris

Dal

39

30.1

16.7

21.4

14.4

2.3

5.3

28-11

Njn

13

33.7

20.1

18.3

16.1

3.2

6.2

4-9

10

L.Hughes

Cle

41

29.9

15.9

13.7

12.3

3.5

2.3

24-17

Chi

14

32.8

18.3

16.5

14.6

3.9

4.1

5-9

11

M.Bibby

Sac

15

31.4

17.5

15.9

13.5

3.7

5.0

8-7

Atl

19

33.9

18.5

16.0

13.7

2.8

6.9

8-11

12

D.Gooden

Cle

52

30.4

14.0

14.6

11.3

8.3

1.0

30-22

Chi

14

32.1

15.3

21.3

14.1

9.2

1.8

5-9

13

W.Szczerbiak

Sea

50

23.4

12.4

18.4

13.1

2.7

1.4

12-38

Cle

15

22.9

11.6

12.3

9.1

3.1

1.7

8-7

14

T.Hassell

Dal

37

12.3

2.9

5.7

2.1

1.2

0.7

24-13

Njn

16

12.4

3.4

3.9

2.3

1.4

0.6

5-11

15

J.Dixon

Tor

37

11.4

6.3

13.0

4.2

1.3

1.8

19-18

Det

10

11.3

5.8

11.0

4.4

1.3

1.4

8-2

16

S.O`Neal

Mia

33

28.4

16.0

20.7

14.2

7.8

1.4

8-25

Pho

16

28.3

12.8

18.2

11.9

10.6

1.8

10-6

17

J.Smith

Chi

50

22.7

12.0

19.8

11.2

5.3

0.9

20-30

Cle

16

22.1

8.6

17.7

7.8

5.6

0.9

9-7

18

J.Collins

Njn

43

15.7

2.3

2.4

1.4

2.1

0.4

19-24

Mem

19

13.9

3.1

5.3

2.2

2.6

0.2

5-14

19

D.Marshall

Cle

11

14.0

5.1

9.9

3.7

2.7

0.5

5-6

Sea

10

11.6

4.2

12.6

3.6

3.2

0.3

0-10

20

P.Gasol

Mem

39

36.5

19.3

23.7

18.9

8.8

3.0

10-29

Lal

19

33.9

17.0

28.1

18.8

7.9

3.4

15-3

21

B.Jackson

Nor

50

19.1

8.4

14.7

7.0

2.4

1.8

33-15

Hou

11

16.4

9.0

17.7

7.6

2.4

1.7

8-3

22

B.Wells

Hou

51

21.8

11.8

16.6

9.2

5.1

1.6

31-20

Nor

9

18.9

10.7

23.5

9.8

3.4

0.8

5-4

23

J.Kidd

Njn

51

36.9

19.0

18.6

11.3

8.1

10.4

23-28

Dal

17

33.9

14.8

19.7

8.4

6.4

9.3

9-8

24

S.Williams

Atl

36

11.3

3.9

11.8

3.0

3.0

0.3

15-21

Sac

17

8.0

3.9

3.9

2.3

0.1

8-9

25

G.Giricek

Uta

22

12.4

5.8

8.3

4.3

1.4

0.7

12-10

Phi

12

9.0

4.7

3.1

1.2

0.9

5-7

26

D.Diop

Dal

52

17.0

3.6

16.0

3.0

5.2

0.5

34-18

Njn

17

13.2

3.5

12.7

2.2

4.4

0.4

6-11

27

B.Wallace

Chi

50

32.3

8.0

14.0

5.1

8.8

1.8

19-31

Cle

14

28.0

6.1

14.1

4.9

8.1

0.6

9-5

28

F.Elson

San

43

12.9

5.1

9.4

3.5

3.3

0.4

29-12

Sea

8

8.2

3.7

2.6

2.9

0.4

1-7

29

K.Korver

Phi

25

26.1

11.5

12.4

10.0

2.9

1.3

12-13

Uta

39

21.2

9.1

17.1

10.0

1.9

1.3

30-9

30

S.Swift

Mem

35

15.5

7.2

18.8

6.8

3.7

0.6

11-24

Njn

14

10.0

3.8

14.6

3.3

2.7

0.3

6-8

31

M.Allen

Njn

48

15.7

6.5

12.0

5.4

2.7

0.6

21-27

Dal

16

10.4

3.0

16.9

3.1

2.2

0.5

9-7

32

K.Thomas

Sea

42

25.0

7.8

18.5

7.5

8.8

1.3

13-29

San

16

18.7

6.4

15.4

5.0

5.4

0.6

10-6

33

D.Stoudamire

Mem

29

21.4

9.8

13.9

7.3

2.4

3.9

8-21

San

22

14.4

6.7

6.0

3.7

1.5

1.7

16-6

34

S.Cassell

Lac

38

25.4

15.7

19.7

12.8

2.8

4.7

14-24

Bos

7

18.2

9.7

6.8

5.6

1.9

2.3

6-1

35

M.James

Hou

33

16.1

9.0

11.2

6.5

1.6

1.6

17-16

Nor

12

8.8

4.2

3.5

0.8

0.4

7-5

36

K.Brown

Lal

23

21.9

7.4

11.6

5.7

5.7

1.2

15-8

Mem

13

12.2

3.8

11.8

2.5

3.3

0.9

2-11

37

A.Wright

Njn

42

25.0

9.0

9.7

7.1

3.0

1.6

17-25

Dal

6

13.6

5.9

13.2

5.0

2.3

0.8

5-1

38

A.Johnson

Atl

43

26.1

9.4

14.4

6.6

2.3

4.7

20-23

Sac

16

12.7

4.7

10.1

3.3

1.4

1.8

7-9

What about main men J-Kidd, Shaq, Pau Gasol and Matrix? J-Kidd is spending less time on the court with using the ball 4.19 fewer than he was doing it with the Nets. Despite having less playing time and using fewer possessions, Gasol plays more efficient basketball in Lakers uniform . Shaq’s playing time didn’t change but he is using 3.16 fewer balls than he was averaging in Miami. Shawn Marion seemed to fill the statsheet with getting more playing time and ball usage rights but his efficiency went significantly down (3.49) in Miami. The research showed that Marcus Banks led the traded players as he had his PER jumped from 12 to 18.

USAGE is number of possessions a player uses in his playing time in a game.